Global hierarchical meta-analysis to identify the factors for controlling effects of antibiotics on soil microbiota

作者：Mingyu Wang, Detian Li, Xiangyu Liu, Chengrong Chen, Beat Frey, Xin Sui, Mai–He Li · 发表于：Environment International · 年份：2024 · DOI：10.1016/j.envint.2024.109038 · 被引用次数：19 · 研究领域：Pharmaceutical and Antibiotic Environmental Impacts、Soil Carbon and Nitrogen Dynamics

• Antibiotics significantly reduce soil microbial biomass, α-diversity and soil enzyme activity. • Differential effects of different types of antibiotic on soil microbiota. • Different moderators differ in their importance in the effect of antibiotics on soil microbiota. • Effect values derived using a hierarchical mixed-effects meta-analysis model. It is widely known that antibiotics can affect the structure and function of soil microbial communities, but the specific degree of impact and controlled factors on different indicators remain inconclusive. We conducted a multiple hierarchical mixed effects meta-analysis on 2564 observations that were extracted from 60 publications, to comprehensively assess the impact of antibiotics on soil microbiota. The results showed that antibiotics had significant negative effects on soil microbial biomass, α-diversity and soil enzyme activity. Under neutral initial soil, when soil was derived from agricultural land or had a fine-textured, the negative impacts of antibiotics on soil microbial community were exacerbated. Both single and mixed additions of antibiotics had significant inhibitory effects on soil microbial enzyme activities. The Random Forest model predicted the following key moderators involved in the effects of antibiotics on the soil microbiome, and antibiotics type, soil texture were key moderators on the severity of soil microbial biomass changes. Soil texture, temperature and single or combined application constitute of an...